干旱区生态环境知识资源中心(Arid): Proposing a combined method for the estimation of spatial and temporal variation of crop water productivity under deficit irrigation scenarios based on the AquaCrop model

Arid

DOI	10.1007/s13201-022-01666-8
	Proposing a combined method for the estimation of spatial and temporal variation of crop water productivity under deficit irrigation scenarios based on the AquaCrop model
	Ahmadpour, Abdoreza; Bansouleh, Bahman Farhadi; Azari, Arash
通讯作者	Bansouleh, BF
来源期刊	APPLIED WATER SCIENCE
ISSN	2190-5487
EISSN	2190-5495
出版年	2022
卷号	12 期号:7
英文摘要	Deficit irrigation is a management strategy to improve crop water productivity, especially in arid and semi-arid regions. Soil characteristics and weather parameters are among the factors affecting crop water productivity in water stress conditions. Due to spatial changes in soil characteristics and temporal and spatial variations in meteorological parameters, it can be expected that crop water productivity will also have temporal and spatial variations. In this study, by combining the Geographic Information System (GIS) with the grid weather generation tools from the Crop Growth Monitoring System (CGMS) and the plug-in version of the AquaCrop, a combined method was developed to investigate the spatial and temporal variation of crop yield, seasonal crop evapotranspiration, and water productivity of maize under various irrigation scenarios. The proposed model was implemented in a case study in the west of Iran. The study area was divided into 37 grid weather with 5 * 5 km and 19 soil units. By overlaying soil units and grid weathers, 94 homogeneous units were created. The model was executed for 94 homogeneous areas, using calibrated crop file of grain maize under four irrigation scenarios of 40, 60, 80, and 100% of potential irrigation requirement (S40, S60, S80, and S100, respectively) for 28 years (1988-2015) of weather data (10,528 runs). The results showed that by increasing water stress, the percentage of spatial and temporal variation of the studied parameters (crop yield, seasonal crop water requirement, and water productivity) would be increased. The percentage of spatial changes in crop yield and crop water productivity was more significant than temporal changes. The average of crop water productivity in the scenarios of S100, S80, S60, and S40 was determined as 1.5, 1.4, 1.2, and 0.5 kg m(-3), respectively.
英文关键词	CGMS Crop growth model Crop yield Deficit irrigation Kermanshah Productivity
类型	Article
语种	英语
开放获取类型	gold
收录类别	SCI-E
WOS记录号	WOS:000795141900001
WOS关键词	SOYBEAN GRAIN-YIELD ; SIMULATION-MODEL ; GROWTH ; MAIZE ; CALIBRATION ; WHEAT ; PERFORMANCE ; VALIDATION ; CLIMATE ; WOFOST
WOS类目	Water Resources
WOS研究方向	Water Resources
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/391879
推荐引用方式 GB/T 7714	Ahmadpour, Abdoreza,Bansouleh, Bahman Farhadi,Azari, Arash. Proposing a combined method for the estimation of spatial and temporal variation of crop water productivity under deficit irrigation scenarios based on the AquaCrop model[J],2022,12(7).
APA	Ahmadpour, Abdoreza,Bansouleh, Bahman Farhadi,&Azari, Arash.(2022).Proposing a combined method for the estimation of spatial and temporal variation of crop water productivity under deficit irrigation scenarios based on the AquaCrop model.APPLIED WATER SCIENCE,12(7).
MLA	Ahmadpour, Abdoreza,et al."Proposing a combined method for the estimation of spatial and temporal variation of crop water productivity under deficit irrigation scenarios based on the AquaCrop model".APPLIED WATER SCIENCE 12.7(2022).